Yue Pan 
- : Unmanned aerial vehicle–human collaboration route planning for intelligent infrastructure inspection. In: Computer-Aided Civil and Infrastructure Engineering.
- (2024): Transformer-Enhanced Traffic Load Simulation for Wear Evaluation of Bridge Expansion Joint. In: Structural Control and Health Monitoring, v. 2024 (January 2024).
- (2024): Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality. In: Tunnelling and Underground Space Technology, v. 146 (April 2024).
- (2024): A spatiotemporal feature fusion-based deep learning framework for synchronous prediction of excavation stability. In: Tunnelling and Underground Space Technology, v. 147 (May 2024).
- (2023): Time series clustering-enabled geological condition perception in tunnel boring machine excavation. In: Automation in Construction, v. 153 (September 2023).
- (2024): A probabilistic deep reinforcement learning approach for optimal monitoring of a building adjacent to deep excavation. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 5 (February 2024).
- (2018): Steel Box-Girder Bridge Diseases Identification Based on Computer Vision System. Presented at: Ninth International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia.
- (2022): Unit influence surface identification of long-span bridge based on spatial-temporal vehicle load monitoring. Presented at: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022.
- (2022): Predicting transient particle transport in periodic ventilation using Markov chain model with pre-stored transition probabilities. In: Building and Environment, v. 211 (March 2022).
- (2021): Semi-supervised learning with GAN for automatic defect detection from images. In: Automation in Construction, v. 128 (August 2021).
- (2021): Roles of artificial intelligence in construction engineering and management: A critical review and future trends. In: Automation in Construction, v. 122 (February 2021).
- (2020): A spatial-channel hierarchical deep learning network for pixel-level automated crack detection. In: Automation in Construction, v. 119 (November 2020).
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